muhadyan/Final_Project_BookRecommendation

Final Project JCDS07

Book Recommendation

1. Purpose

1. People can get what books that fit the best with them, based on genre or author of their favorite book.
2. Business user can attract people who love reading book with their needs of book recommendation based on what they like.
3. Business user can automatically targeting ads or promo based one what people search and want.

2. Data Source

• The datasets that I use are from Kaggle. It’s name is Goodreads’ Best Book Ever
• Based on description, the data scraped from Goodreads’ website itself
• Datasets link source (https://www.kaggle.com/meetnaren/goodreads-best-books)

3. Recommendation System

• I use the content based filtering recommendation system
• I use book’s genre or author feature to create the recommendation system
• Combining book’s genre and author to create the recommendation system
• I use CountVectorizer to convert text feature into vector representation
• I use CosineSimilarity to see similarity between book’s genre or author.
• Rank some books from the highest to the lowest score of similarity.

4. Some example how the app is working

1. Home Page

2. Favorite Book

3. Book Recommendation Based on Author and Genre

4. Book Recommendation Based on Genre

5. Book Recommendation Based on Author

6. Back to Home Page Button

Thats all for this Book Recommendation project, feel free to suggest and let me know how can this project work even better in the future.

Muhammad Adyan Rohutomo | madyanr@gmail.com